System and method for determining real-world geographic locations of multiple members

ABSTRACT

Methods and systems for determining real-world geographic locations of multiple interconnected members are provided herein. The method may include: determining distances between at least some members of a first subgroup of the multiple members; determining movement vectors of members of a second subgroup of the multiple members; determining real-world geographic locations of members of a third subgroup of the multiple members; and determining, based on the distances between the at least some members of the first subgroup, the movement vectors of the members of the second subgroup and the real-world geographic locations of the members of the third group, the real-world geographic locations of the multiple members.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation of WIPO Patent Application No.PCT/IL2019/050739 filed on Jul. 3, 2019 which claims priority fromIsraeli Patent Application No. 260406 filed on Jul. 3, 2018, both ofwhich are incorporated herein by reference in their entireties.

FIELD OF THE INVENTION

The present invention relates to the field of geolocation, and moreparticularly, to determining real-world geographic locations of multiplemembers.

BACKGROUND OF THE INVENTION

Systems for determining real-world geographic locations of networkmembers are widely used in civil and military applications. Some currentsystems utilize inertial sensors to determine real-world geographiclocations of the network members. However, these systems requirefrequent and dedicated calibration and/or utilize high-cost sensors toprovide robust results. Moreover, robust inertial sensors typically havelarge dimensions and are heavy, thereby limiting system's applications.

Other current systems utilize satellite-based communication sensors(e.g., GPS, etc.). However, these systems do not allow determiningreal-world geographic locations of the network members that are locatedin, for example, closed areas (such as buildings) and/or may besubjected to blockages and/or disruptions. Moreover, robustsatellite-based communication sensors typically have large dimensions,are heavy and/or expensive, thereby limiting system's applications.

Other current systems utilize distance sensors to determine distancesbetween the network members and predetermined, typically static,waypoints. However, these systems typically provide ambiguousinformation concerning the real-world geographic locations of thenetwork members and may at best provide the relative position of thenetwork members with respect to each other. Some current systems thatutilize distance sensors may also combine inertial sensors to determinereal-world geographic locations of the network members. However, robustinertial sensors typically have large dimensions and are heavy, therebylimiting system's applications (e.g., as described above).

Other current systems utilize optical systems to determine real-worldgeographic locations of network members. However, these systems requirea direct line of sight with the network members and the application ofthese systems may be restricted due to, for example, weather conditions.

SUMMARY OF THE INVENTION

One aspect of the present invention provides a system for determiningreal-world geographic locations of multiple interconnected members, thesystem including: a first subgroup of the multiple members comprisingfirst sensors, wherein the members of the first subgroup to determine,based on readings of the first sensors, distances between at least somemembers of the first subgroup; a second subgroup of the multiple memberscomprising second sensors, wherein the members of the second subgroup todetermine, based on readings of the second sensors, movement vectors ofthe second subgroup members; a third subgroup of the multiple memberswhich real-world geographic locations are known; and an analysis unitto: receive, from the members of the first subgroup, the distancesbetween at least some members of the first subgroup, receive, from themembers of the second subgroup, the movement vectors of the members ofthe second subgroup, receive, from the members of the third subgroup,the real-world geographic locations of the members of the thirdsubgroup, and determine, based on the distances between the at leastsome members of the multiple members, the movement vectors of themembers of the second subgroup and the real-world geographic locationsof the members of the third group, the real-world geographic locationsof the multiple members.

Another aspect of the present invention provides a method of determiningreal-world geographic locations of multiple interconnected members, themethod including: determining distances between at least some members ofa first subgroup of the multiple members; determining movement vectorsof members of a second subgroup of the multiple members; determiningreal-world geographic locations of members of a third subgroup of themultiple members; and determining, based on the distances between the atleast some members of the first subgroup, the movement vectors of themembers of the second subgroup and the real-world geographic locationsof the members of the third group, the real-world geographic locationsof the multiple members.

These, additional, and/or other aspects and/or advantages of the presentinvention are set forth in the detailed description which follows;possibly inferable from the detailed description; and/or learnable bypractice of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

For a better understanding of embodiments of the invention and to showhow the same can be carried into effect, reference will now be made,purely by way of example, to the accompanying drawings in which likenumerals designate corresponding elements or sections throughout.

In the accompanying drawings:

FIGS. 1A-1D are schematic illustration of various configurations of asystem for determining real-world geographic locations of multiplemembers, according to some embodiments of the invention;

FIG. 2A and FIG. 2B are flowcharts of a method performed by an analysisunit of various configurations of a system for determining real-worldgeographic locations of multiple members, according to some embodimentsof the invention; and

FIG. 3 is a flowchart of a method of determining real-world geographiclocations of multiple members, according to some embodiments of theinvention.

It will be appreciated that, for simplicity and clarity of illustration,elements shown in the figures have not necessarily been drawn to scale.For example, the dimensions of some of the elements may be exaggeratedrelative to other elements for clarity. Further, where consideredappropriate, reference numerals may be repeated among the figures toindicate corresponding or analogous elements.

DETAILED DESCRIPTION OF THE INVENTION

In the following description, various aspects of the present inventionare described. For purposes of explanation, specific configurations anddetails are set forth in order to provide a thorough understanding ofthe present invention. However, it will also be apparent to one skilledin the art that the present invention can be practiced without thespecific details presented herein. Furthermore, well known features canhave been omitted or simplified in order not to obscure the presentinvention. With specific reference to the drawings, it is stressed thatthe particulars shown are by way of example and for purposes ofillustrative discussion of the present invention only and are presentedin the cause of providing what is believed to be the most useful andreadily understood description of the principles and conceptual aspectsof the invention. In this regard, no attempt is made to show structuraldetails of the invention in more detail than is necessary for afundamental understanding of the invention, the description taken withthe drawings making apparent to those skilled in the art how the severalforms of the invention can be embodied in practice.

Before at least one embodiment of the invention is explained in detail,it is to be understood that the invention is not limited in itsapplication to the details of construction and the arrangement of thecomponents set forth in the following description or illustrated in thedrawings. The invention is applicable to other embodiments that can bepracticed or carried out in various ways as well as to combinations ofthe disclosed embodiments. Also, it is to be understood that thephraseology and terminology employed herein is for the purpose ofdescription and should not be regarded as limiting.

Unless specifically stated otherwise, as apparent from the followingdiscussions, it is appreciated that throughout the specificationdiscussions utilizing terms such as “processing”, “computing”,“calculating”, “determining”, “enhancing” or the like, refer to theaction and/or processes of a computer or computing system, or similarelectronic computing device, that manipulates and/or transforms datarepresented as physical, such as electronic, quantities within thecomputing system's registers and/or memories into other data similarlyrepresented as physical quantities within the computing system'smemories, registers or other such information storage, transmission ordisplay devices. Any of the disclosed modules or units can be at leastpartially implemented by a computer processor.

Generally, methods and systems for determining real-world geographiclocations of multiple interconnected members are disclosed. The methodmay include: determining distances between at least some members of afirst subgroup of the multiple members; determining movement vectors ofmembers of a second subgroup of the multiple members; determiningreal-world geographic locations of members of a third subgroup of themultiple members; and determining, based on the distances between the atleast some members of the first subgroup, the movement vectors of themembers of the second subgroup and the real-world geographic locationsof the members of the third group, the real-world geographic locationsof the multiple members.

Reference is now made to FIGS. 1A-1D, which are schematic illustrationsof various configurations of a system 100 for determining real-worldgeographic locations of multiple members 110, according to someembodiments of the invention.

System 100 may include multiple members 110 and an analysis unit 190.For example, system 100 may include a first member 110 a, a secondmember 110 b, a third member 110 c, a fourth member 110 d and/or a fifthmember 110 e (e.g., as shown in FIG. 1A). It is noted that system 100may include any number of members (e.g., tens, hundreds and/or thousandsof members).

Multiple members 110 may be interconnected (e.g., directly orindirectly) with each other. In some embodiments, at least some membersof multiple members 110 are directly connected with some other membersof multiple members 110 (e.g., as indicated by solid double arrows inFIGS. 1A-1D). For example, first member 110 a may be directly connectedwith fifth member 110 e and/or fourth member 110 d may be directlyconnected with second member 110 b, third member 110 c and fifth member110 e (e.g., as shown in FIG. 1A).

In some embodiments, at least some members of multiple members 110 areindirectly connected with at least some other members of multiplemembers 110. For example, second member 110 b may be indirectlyconnected with first member 110, e.g., via fifth member 110 e (e.g., asshown in FIG. 1A).

In some embodiments, at least some members of multiple members 110 aredirectly connected with analysis unit 190 (e.g., as indicated by dasheddouble arrows in FIGS. 1A-1D). For example, first member 110 a and/orfourth member 110 d may be directly connected with analysis unit 190(e.g., as shown in FIG. 1A).

In some embodiments, at least some members of multiple members 110 areindirectly connected with analysis unit 190. For example, third member110 c may be indirectly connected with analysis unit 190, e.g., viafourth member 110 d and/or second member 110 b may be indirectlyconnected with analysis unit 190, e.g., via fifth member 110 e and firstmember 110 a (e.g., as shown in FIG. 1A).

In some embodiments, each member of multiple members 110 is directlyconnected with all other members of multiple members 110 (e.g., as shownin FIG. 1B and FIG. 1C). In some embodiments, each member of multiplemembers 110 is directly connected with analysis unit 190 (e.g., as shownin FIG. 1C). In some embodiments, system 100 includes two or moreanalysis units 190 (now shown).

Multiple members 110 may be, for example, human subjects, cars, airbornevehicles, etc. In some embodiments, multiple members 110 may be at aspecified site (e.g., a specified district of a city, a specifiedportion of an open terrain, etc.). In some embodiments, at least somemembers of multiple members 110 may move through the specified site inspecified movement directions (e.g., as indicated by solid arrows inFIGS. 1A-1D). For example, second member 110 b may move in a firstdirection (e.g., determined by angle θ₁ with respect to the northcardinal direction which is indicated by “▴^(N)” in FIGS. 1A-1D) and/orthird member 110 c may move in a second direction (e.g., determined byangle θ2 with respect to the north cardinal direction), e.g., as shownin FIGS. 1A-1D. In some embodiments, at least some members of multiplemembers 110 may be in, for example, building(s) 90 (e.g., as shown inFIGS. 1A-1D).

System 100 may include a first subgroup of multiple members 110. Forexample, the first subgroup may include second member 110 b, thirdmember 110 c and fourth member 110 d. The members of the first subgroup(or at least some members of the first subgroup) may include firstsensors 120 (e.g., as shown in FIGS. 1A-1D).

First sensors 120 may be distance sensors. The members of the firstsubgroup may determine, based on readings of first sensors 120,distances between at least some members of the first subgroup.

In some embodiments, each member of the first subgroup may determine,based on respective member's first sensor 120 readings, correspondingdistances between the respective member and at least some other membersof the first subgroup (e.g., as remaining members of the other membersmay be, for example, out of a detection range of the respective member'sfirst sensor 120). For example, second member 110 b may determine adistance between second member 110 b and third member 110 c, and adistance between second member 110 b and fourth member 110 d,respectively, based on the respective first sensors' 120 readings (e.g.,as shown in FIG. 1A). Alternatively or complementarily, each member ofthe first subgroup may determine, based on the respective member's firstsensor 120 readings, corresponding distances between the respectivemember and all other members of the first group.

In some embodiments, first sensors 120 are electromagnetic sensors. Eachfirst sensor of first sensors 120 may, for example, transmitelectromagnetic signals to at least some other first sensors of firstsensors 120, receive return electromagnetic signals from the other firstsensors, and further determine, based on the transmitted electromagneticsignals and the returned electromagnetic signals, correspondingdistances between the respective first sensor and the at least someother first sensors thereof.

In some embodiments, the first subgroup includes all multiple members110, wherein all multiple members 110 include first sensors 120 todetermine distances between each two members of multiple members 110(not shown).

System 100 may include a second subgroup of multiple members 110. Insome embodiments, the first subgroup includes the members of the secondsubgroup. For example, the second subgroup may include second member 110b and third member 110 c (e.g., as shown in FIGS. 1A-1D).

The members of the second subgroup may include second sensors 130. Forexample, each of second subgroup members may include a second sensor130. Second sensors 130 may be inertial sensors. In some embodiments,each of second sensors 130 may include at least one of an accelerometer,a compass, a pedometer and/or an electromagnetic sensor.

In some embodiments, each member of the second subgroup may determine,based on respective member's second sensor 130 readings, a respectivemember's movement vector, to thereby yield movement vectors 132 of thesecond subgroup members. The movement vector of each member of thesecond subgroup may include a movement direction (e.g., determined withrespect to, for example, the north cardinal direction) and a distance(e.g., number of steps) made by the respective member during apredetermined time duration. Second sensors 130 may be, for example,low-cost sensors that may provide stable and/or robust sensor dataduring the predetermined time duration ranging within several secondsonly. In some embodiments, the predetermined time duration thereofranges between 1-5 seconds.

For example, second member 110 b may determine, based on second member'ssecond sensor 130 readings, a first movement vector 132 a of secondmember 110 b that may include the first direction (e.g., determined bythe angle θ₁ with respect to the north cardinal direction) and a firstdistance made by second member 110 b during the predetermined timeduration (e.g., as shown in FIG. 1A). In another example, third member110 c may determine, based on third member's second sensor 130 readings,a second movement vector 132 b of third member 110 c that may includethe second direction (e.g., determined by the angle θ2 with respect tothe north cardinal direction) and a second distance made by third member110 c during the predetermined time duration (e.g., as shown in FIG.1A).

In some embodiments, the second subgroup includes all members of thefirst subgroup, wherein each member of first subgroup includes secondsensor 130 to determine the respective member's movement vector (notshown). In some embodiments, the second subgroup includes all multiplemembers 110, wherein each of multiple members 110 includes second sensor130 to determine the respective member's movement vector (not shown).

System 100 may include a third subgroup of multiple members 110. In someembodiments, the first subgroup includes the third subgroup. In someembodiments, the second subgroup includes the third subgroup. In someembodiments, the third subgroup includes at least one member. Forexample, the third subgroup may include fourth member 110 d.

Real-world geographic location(s) of the third subgroup member(s) may beknown and/or may be determined. In some embodiments, the member(s) ofthe third subgroup may be located at, or pass through, specifiedlocation(s) 80, which real-world geographic coordinates are known (e.g.,as shown in FIGS. 1A-1C). In some embodiments, the member(s) of thethird subgroup may include third sensor(s) 140 (e.g., as shown in FIG.1D). Third sensor(s) 140 may be geolocation sensor(s), for example, GPSsensor(s). The member(s) of the third subgroup may determine, based onrespective member(s) third sensor(s) 140 readings, real-world geographiclocation(s) of the member(s) of the third subgroup.

In some embodiments, system 100 may include a fourth subgroup ofmultiple members 110. The members of the fourth subgroup may not haveany of first sensors 120, second sensors 130 and/or fourth sensors 140.For example, the fourth subgroup may include first member 110 a and/orfifth member 110 e (e.g., as shown in FIGS. 1A-1D). Each of the fourthsubgroup members may be in any connection (e.g., visual, radio, etc.)with at least one of the first subgroup members, second subgroup membersand/or third subgroup members such that at least one of: the distance ofbetween the respective fourth group member and at least some members ofthe first subgroup, the movement vector of the respective fourth groupmember and/or the real-world geographic location of the respectivefourth group member, respectively, may be determined or known, or atleast estimated.

For example, fifth member 110 e may follow, or accompany, second member110 b (e.g., a signaler and a commander in a battle field, respectively)such that a movement vector of fifth member 110 e is similar (orsubstantially similar) to second movement vector 132 b of second member110 b (e.g., determined based on second member's 110 b second sensor 130readings). In another example, fifth member 110 e may follow, oraccompany, fourth member 110 d, such that a distance between fifthmember 110 e and at least some of the first subgroup members is similar(or substantially similar) to the distance between fourth member 110 dand the at least some members thereof (e.g., as determined based onreadings of first sensors 120).

The connections between the fourth subgroup members and other members ofmultiple members 110 may be predetermined, and information concerningthe fourth subgroup connections may be stored in analysis unit 190. Invarious embodiments, the connections between the fourth subgroup membersand other members of multiple members 110 thereof and/or the informationconcerning the connections thereof may be updated in real-time.

Analysis unit 190 may receive, from the members of the first subgroup,the distances between at least some members of the first subgroup.

Analysis unit 190 may further receive, from the members of the secondsubgroup, the movement vectors of the second subgroup members.

In some embodiments, analysis unit 190 may further determine updateddistance(s) between at least some two members of the second subgroup,based on the respective members' movements vectors (that may includemovement directions and movement distances of the respective members)and the distance(s) between the respective members. Advantageously, theupdated distances thereof are more accurate as compared to, for example,the distances being determined by first sensors 120.

Analysis unit 190 may further receive, from the member(s) of the thirdsubgroup, the real-world geographic location(s) of the member(s) of thethird subgroup.

Analysis unit 190 may further determine, based on the distances betweenthe at least some members of the first subgroup, the movement vectors ofthe second subgroup members, the real-world geographic location(s) ofthe third subgroup member(s), optionally based on the updateddistance(s) between the at least some members of the second subgroup,and optionally based on the information concerning the connectionsbetween the fourth subgroup members and other members of multiplemembers 110, the real-world geographic locations of multiple members 110(e.g., as described below with respect to FIG. 2A and FIG. 2B).

According to some embodiments, determination of the distances between atleast some members of the first subgroup, the movement vectors of thesecond subgroup members and the real-world geographic location(s) of themember(s) of the third subgroup (wherein, in some embodiments, the firstsubgroup includes at least some members of the second subgroup and atleast some members of the third subgroup) may be determined by analysisunit 190. For example, analysis unit 190 may receive readings from firstsensors 120 of the first subgroup members, readings from second sensors130 of the second subgroup members, and readings from third sensor(s)140 of the third subgroup member(s), and further determine, based on thereadings thereof, the distances between at least some members of thefirst subgroup, the movement vectors of the second subgroup members andthe real-world geographic location(s) of the member(s) of the thirdsubgroup, respectively.

System 100 may utilize low-end first sensors 120, low-end second sensors130 and low-end third sensors 140. These low-end sensors may haverelatively small dimensions, relatively small weight and/or relativelylow-cost. Small dimensions and small weight of the low-end sensors 120,130, 140 may, for example, enable human members (e.g., solders,policemen, firemen, etc.) to wear the sensors thereof (e.g., byembedding the sensors in, for example, members' uniform). The low-costof the low-end sensors 120, 130, 140 may enable utilizing the sensorsthereof in networks including multiple members (e.g., few, tens,hundreds and thousands of members), while reducing the total cost ofsystem 100, as compared to current systems for determining real-worldgeographic location of the network members.

It is noted that low-end sensors that may be utilized by system 100 mayprovide stable and/or robust sensors' readings during a short timeperiod only, typically of a few seconds. For example, movement vectors132 of the second subgroup members (e.g., being determined based on thereadings of second sensors 130) may include movement directions of thesecond subgroup members during the predetermined time duration ofseveral seconds only (e.g., as described above with respect to FIGS.1A-1D). As a result, such low-end sensors 120, 130, 140 cannot be usedby system 100 as standalone sensors for determining the real-worldgeographic locations of the multiple members. It is a combination of thedistances between the at least some members of the first subgroup, themovement vectors of the second subgroup members and the real-worldgeographic location(s) of the third subgroup member(s) that may enablesystem 100 (or analysis unit 190) to determine the real-world geographiclocations of multiple members 110.

System 100 may be arranged to perform a predetermined number ofcommunication cycles between each of multiple members 110 and analysisunit 190 during a specified time period (e.g., from beginning to end ofa mission) (e.g., as described below with respect to FIG. 2A and FIG.2B). Analysis unit 190 may be arranged to determine, at each of thepredetermined communication cycles and for each of multiple members 110,the respective member's real-world geographic location (e.g., asdescribed below with respect to FIG. 2A and FIG. 2B). Analysis unit 190may save and store the real-world geographic locations of multiplemembers 110 being determined at each of the predetermined communicationcycles.

During each of the communication cycles, analysis unit 190 may bearranged to determine, for each of multiple members 110, an error in therespective member's real-world geographic location, and verify that theerror thereof is below a predetermined error threshold (e.g., asdescribed below with respect to FIG. 2A and FIG. 2B). Analysis unit 190may be arranged to perform multiple iterations, for each of multiplemembers 110 and during each of the communications cycles, to therebyreduce the error thereof below the predetermined error threshold (e.g.,as described below with respect to FIG. 2A and FIG. 2B).

The number and/or the frequency of the communication cycles during thespecified time period and/or the specified time period may bepredetermined and/or updated in real-time based on the desiredapplication of system 100.

Reference is now made to FIG. 2A and FIG. 2B, which are flowcharts of amethod 200 performed by an analysis unit 190 of various configurationsof a system 100 for determining real-world geographic locations ofmultiple members, according to some embodiments of the invention.

It is noted that method 200 is not limited to the flowcharts illustratedin FIG. 2A and FIG. 2B and to the corresponding description. Forexample, in various embodiments, method 200 needs not move through eachillustrated box or stage, or in exactly the same order as illustratedand described.

Analysis unit 190 may receive, from the members of the first subgroup,the distances between at least some members of the first subgroup (stage210). Analysis unit 190 may receive, from the second subgroup ofmembers, the movement vectors of the second subgroup members (stage212). Analysis unit 190 may receive, from the member(s) of the thirdsubgroup, the real-world geographic location(s) of the member(s) of thethird subgroup (stage 214) (e.g., as shown in FIG. 2A).

Analysis unit 190 may determine, based on the distances between thefirst subgroup members, an orientation of the first subgroup memberswith respect to each other (stage 211). The orientation thereof may, forexample, include information concerning the relative position of thefirst subgroup members with respect to each other.

Analysis unit 190 may further determine, based on the orientation of thefirst subgroup members with respect to each other (or optionally basedon the distances between the first subgroup members), based on themovement vectors of the second subgroup members and based on thereal-world geographic location(s) of the member(s) of the thirdsubgroup, the real-world geographic locations of multiple members 110(stage 220).

Analysis unit 190 may determine, based on the orientation of the firstsubgroup members with respect to each other (or optionally based on thedistances between the first subgroup members) and based on predeterminedparameters of first sensors 120 (e.g., sensitivity of first sensors120), error values of the distances between the first subgroup members(stage 230).

Analysis unit 190 may further determine, based on the movement vectorsof the second subgroup members and based on predetermined parameters ofsecond sensors 130 (e.g., sensitivity of second sensors 130), errorvalues of the movement vectors thereof (stage 232).

Analysis unit 190 may further determine, based on the real-worldgeographic location(s) of the third subgroup member(s) and based onpredetermined parameters of third sensor(s) 140 (e.g., sensitivity ofthird sensor(s) 140), error value(s) of the real-world geographiclocation thereof (stage 234).

Analysis unit 190 may further determine, based on the error values ofthe distances between the first subgroup members, error values of themovement vectors of the second subgroup members and based on errorvalue(s) of the real-world geographic location of the third subgroupmember(s), global error values of the real-world geographic locations ofmultiple members 110 (e.g., determined at stage 220) (stage 236).

Analysis unit 190 may determine, for each of multiple members 110, basedon the respective member's global error value and a predetermined errorthreshold, whether the respective member's global error value is aboveor below the predetermined error threshold (stage 240). When therespective member's global error value is above the predetermined errorthreshold, analysis unit 190 may update the real-world geographiclocations of multiple members 110 (stage 242) and further perform,within the same communication cycle, another iteration (e.g., thatincludes at least some of the following stages 210, 211, 212, 214, 220,230, 232, 234, 236, 240, as described above with respect to FIG. 2A) tothereby update the real-world geographic location of the respectivemember.

When the global error value is below the predetermined error threshold,analysis unit 190 may determine, for each of multiple members 110, basedon respective member's current real-world geographic location (e.g.,determined during current communication cycle) and based on respectivemember's previous real-world geographic location (e.g., determinedduring previous communication cycle), a respective member's displacementvector, to yield corresponding displacement vectors of multiple members110 (stage 244). Analysis unit 190 may determine, or update, based onthe corresponding displacement vectors of multiple members 110 and basedon the corresponding real-world geographic locations of multiple members110, corresponding real-world location vectors of multiple members 110(stage 246).

Analysis unit 190 may wait for next predetermined communication cycle(stage 248) and further determine, during the next predeterminedcommunication cycle, updated real-world geographic locations, updateddisplacement vectors and/or updated real-world location vectors ofcorresponding multiple members 110 (e.g., as described above withrespect to FIG. 2A).

In some embodiments, the real-world geographic location(s) of the thirdsubgroup member(s) may not be available. For example, third sensor(s)140 may be damaged and/or the third subgroup member(s) may not passthrough specified location(s) 80 having known real-world location.

In this case, analysis unit 190 may receive at least one initialreal-world geographic location of corresponding at least one secondsubgroup member (e.g., instead of the real-world geographic location(s)of the third subgroup member(s) that may be not available) (stage 216)(e.g., as shown in FIG. 2B).

The real-world geographic locations of multiple members 110 may befurther determined (e.g., by analysis unit 190) based on the orientationof the first subgroup members with respect to each other (or optionallybased on the distances between the first subgroup members), based on themovement vectors of the second subgroup members and based on the atleast one real-world geographic location of the at least one secondsubgroup member (stage 220) (e.g., as shown in FIG. 2B). The globalerror values of the real-world geographic locations of multiple members110 may be further determined (e.g., by analysis unit 190) based on theerror values of the distances between the first subgroup members anderror values of the movement vectors of the second subgroup members(stage 236) (e.g., as shown in FIG. 2B).

Reference is now made to FIG. 3, which is a flowchart of a method 300 ofdetermining real-world geographic locations of multiple members,according to some embodiments of the invention.

Method 300 may be implemented by system 100 that may be arranged toimplement method 300. It is noted that method 300 is not limited to theflowcharts illustrated in FIG. 3 and to the corresponding description.For example, in various embodiments, method 300 needs not move througheach illustrated box or stage, or in exactly the same order asillustrated and described.

Method 300 may include determining distances between at least somemembers of a first subgroup of the multiple members (stage 310).

In some embodiments, method 300 may include configuring the firstsubgroup to include all members of the multiple members (stage 312).

Method 300 may include determining movement vectors of members of asecond subgroup of the multiple members (stage 320).

In some embodiments, method 300 may include configuring the firstsubgroup to include at least some members of the second subgroup (stage322).

In some embodiments, method 300 may include determining for each of thesecond subgroup members, respective member's movement direction andrespective member's movement distance made by the respective memberduring a predetermined time duration (stage 324). In some embodiments,method 300 may include configuring the predetermined time duration torange between 1-5 seconds (stage 326).

In some embodiments, method 300 may include determining updateddistances between at least two members of the second subgroup, based onthe respective members' movements vectors and the distance between therespective members (stage 328).

Method 300 may include determining real-world geographic locations ofmembers of a third subgroup of the multiple members (stage 330).

In some embodiments, method 300 may include configuring the firstsubgroup to include at least some members of the third subgroup (stage332). In some embodiments, method 300 may include configuring the secondsubgroup to include at least some members of the third subgroup (stage334). In some embodiments, method 300 may include configuring the thirdsubgroup to include a single member (stage 336).

Method 300 may include determining, based on the distances between theat least some members of the first subgroup, the movement vectors of themembers of the second subgroup and the real-world geographic locationsof the members of the third group, the real-world geographic locationsof the multiple members (stage 340).

In some embodiments, method 300 may include determining, based on thedistances between the first subgroup members, an orientation of thefirst subgroup members with respect to each other, wherein theorientation includes information concerning the relative position of thefirst subgroup members with respect to each other (stage 350).

In some embodiments, method 300 may include determining, based on atleast one of: the orientation of the first subgroup members with respectto each other (or optionally based on the distances between the firstsubgroup members), and based on predetermined parameters of the firstsensors, error values of the distances between the first subgroupmembers (stage 352).

In some embodiments, method 300 may include determining, based on themovement vectors of the second subgroup members and based onpredetermined parameters of the second sensors, error values of themovement vectors of the second subgroup members (stage 354).

In some embodiments, method 300 may include determining, based on thereal-world geographic locations of the third subgroup members and basedon predetermined parameters of the third sensors, error value(s) of thereal-world geographic location(s) of the third subgroup members (stage356).

In some embodiments, method 300 may include determining, based on theerror values of the distances between the first subgroup members, errorvalues of the movement vectors of the second subgroup members and basedon the error values of the real-world geographic location(s) of thethird subgroup members, global error values of the real-world geographiclocations of the multiple members (358).

In some embodiments, method 300 may include performing, for each of themultiple members, a predetermined number of communication cycles duringa specified time period (stage 360).

In some embodiments, method 300 may include determining, at each of thepredetermined communication cycles and for each of the multiple members,the respective member's real-world geographic location and furtherverifying that the respective member's global error value is below apredetermined error threshold (stage 362).

In some embodiments, method 300 may include performing, for each of themultiple members and within the same communication cycle, when therespective member's global error value is above the predetermined errorthreshold, another iteration to update the real-world geographiclocation of the respective member (stage 364).

In some embodiments, method 300 may include determining, for each ofmultiple members, when the respective member's global error value isabove the predetermined error threshold, based on respective member'scurrent real-world geographic location and based on respective member'sprevious real-world geographic location, a respective member'sdisplacement vector, to yield corresponding displacement vectors of themultiple members (stage 366).

In some embodiments, method 300 may include determining, or updating,based on the corresponding displacement vectors of the multiple membersand based on the corresponding real-world geographic locations of themultiple members, corresponding real-world location vectors of themultiple members (stage 368).

In some embodiments, method 300 may include configuring at least somemembers of the multiple members to directly connect with at least someother members of the multiple members (stage 370). In some embodiments,method 300 may include configuring at least some members of the multiplemembers to indirectly connect with at least some other members of themultiple members (stage 372). In some embodiments, method 300 mayinclude configuring at least some members of the multiple members todirectly connect with the analysis unit (stage 374). In someembodiments, method 300 may include configuring at least some members ofthe multiple members to indirectly connect with the analysis unit (stage376).

In some embodiments, the real-world geographic location(s) of the thirdsubgroup member(s) may not be available. For example, the thirdsensor(s) of the third subgroup members may be damaged and/or the thirdsubgroup member(s) may not pass through the specified location(s) 80having known real-world location (e.g., as described above with respectto FIG. 2A and FIG. 2B).

In some embodiments, method 300 may include determining the real-worldgeographic locations of the multiple members based on the orientation ofthe first subgroup members with respect to each other (or optionallybased on the distances between the first subgroup members), based on themovement vectors of the second subgroup members and based on the atleast one real-world geographic location of the at least one secondsubgroup member (e.g., instead of the real-world geographic location(s)of the third subgroup member(s) that may be not available) (stage 380).

In some embodiments, method 300 may include determining the global errorvalues of the real-world geographic locations of the multiple members110 based on the error values of the distances between the firstsubgroup members and error values of the movement vectors of the secondsubgroup members (stage 382).

Advantageously, the disclosed systems and methods may allow to determinereal-world geographic locations of multiple interconnected members basedon distances between a first subgroup of the multiple members, based onmovement vectors of at least some of the first subgroup members (e.g.,wherein each of the movement vectors includes a movement direction and amovement distance made by a respective member during a predeterminedtime duration of few seconds), and based on a real-world geographiclocation of at least one of the first subgroup members.

Advantageously, the disclosed systems and methods may utilize low-endsensors for determining the distances, the movement vectors and/orreal-world geographic locations of at least some of the first subgroupmembers. Such low-end sensors may have relatively small dimensions,relatively small weight and/or relatively low-cost. Accordingly, thesesensors may be worn by human members (e.g., solders, policemen, firemen,etc.) and may be utilized in networks including multiple members (e.g.,few, tens, hundreds and thousands of members), while keeping the totalcost of the system relatively low. Advantageously, the disclosed systemsand methods may combine the readings of the low-cost sensors thereof(e.g., that cannot be used as standalone sensors) to determine thereal-world geographic locations of the multiple members while overcomingthe disadvantages of current systems for determining real-worldgeographic locations of the network members. (e.g., as described abovewith respect to FIGS. 1A-1D, FIG. 2A, FIG. 2B and FIG. 3).

Aspects of the present invention are described above with reference toflowchart illustrations and/or portion diagrams of methods, apparatus(systems) and computer program products according to embodiments of theinvention. It will be understood that each portion of the flowchartillustrations and/or portion diagrams, and combinations of portions inthe flowchart illustrations and/or portion diagrams, can be implementedby computer program instructions. These computer program instructionscan be provided to a processor of a general-purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions, which execute via theprocessor of the computer or other programmable data processingapparatus, create means for implementing the functions/acts specified inthe flowchart and/or portion diagram or portions thereof.

These computer program instructions can also be stored in a computerreadable medium that can direct a computer, other programmable dataprocessing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or portiondiagram portion or portions thereof. The computer program instructionscan also be loaded onto a computer, other programmable data processingapparatus, or other devices to cause a series of operational steps to beperformed on the computer, other programmable apparatus or other devicesto produce a computer implemented process such that the instructionswhich execute on the computer or other programmable apparatus provideprocesses for implementing the functions/acts specified in the flowchartand/or portion diagram portion or portions thereof.

The aforementioned flowchart and diagrams illustrate the architecture,functionality, and operation of possible implementations of systems,methods and computer program products according to various embodimentsof the present invention. In this regard, each portion in the flowchartor portion diagrams can represent a module, segment, or portion of code,which includes one or more executable instructions for implementing thespecified logical function(s). It should also be noted that, in somealternative implementations, the functions noted in the portion canoccur out of the order noted in the figures. For example, two portionsshown in succession can, in fact, be executed substantiallyconcurrently, or the portions can sometimes be executed in the reverseorder, depending upon the functionality involved. It will also be notedthat each portion of the portion diagrams and/or flowchart illustration,and combinations of portions in the portion diagrams and/or flowchartillustration, can be implemented by special purpose hardware-basedsystems that perform the specified functions or acts, or combinations ofspecial purpose hardware and computer instructions.

In the above description, an embodiment is an example or implementationof the invention. The various appearances of “one embodiment”, “anembodiment”, “certain embodiments” or “some embodiments” do notnecessarily all refer to the same embodiments. Although various featuresof the invention can be described in the context of a single embodiment,the features can also be provided separately or in any suitablecombination. Conversely, although the invention can be described hereinin the context of separate embodiments for clarity, the invention canalso be implemented in a single embodiment. Certain embodiments of theinvention can include features from different embodiments disclosedabove, and certain embodiments can incorporate elements from otherembodiments disclosed above. The disclosure of elements of the inventionin the context of a specific embodiment is not to be taken as limitingtheir use in the specific embodiment alone. Furthermore, it is to beunderstood that the invention can be carried out or practiced in variousways and that the invention can be implemented in certain embodimentsother than the ones outlined in the description above.

The invention is not limited to those diagrams or to the correspondingdescriptions. For example, flow need not move through each illustratedbox or state, or in exactly the same order as illustrated and described.Meanings of technical and scientific terms used herein are to becommonly understood as by one of ordinary skill in the art to which theinvention belongs, unless otherwise defined. While the invention hasbeen described with respect to a limited number of embodiments, theseshould not be construed as limitations on the scope of the invention,but rather as exemplifications of some of the preferred embodiments.Other possible variations, modifications, and applications are alsowithin the scope of the invention. Accordingly, the scope of theinvention should not be limited by what has thus far been described, butby the appended claims and their legal equivalents.

1. A system for determining real-world geographic locations of multipleinterconnected members, the system comprising: a first subgroup of themultiple members comprising first sensors, wherein the members of thefirst subgroup to determine, based on readings of the first sensors,distances between at least some members of the first subgroup; a secondsubgroup of the multiple members comprising second sensors, wherein themembers of the second subgroup to determine, based on readings of thesecond sensors, movement vectors of the second subgroup members, whereineach of the movement vectors comprises a movement direction and amovement distance made by the respective member during a predeterminedtime duration; a third subgroup of the multiple members which real-worldgeographic locations are known; wherein the first sub-group includes atleast some of the members of the second sub-group and wherein at leastone of the first sub-group and the second sub-group includes at leastsome of the members of the third sub-group; wherein the first sensorsare electromagnetic sensors, wherein each of the second sensorscomprises at least one of an accelerometer, a compass, a pedometer, anelectromagnetic sensor or any combination thereof; and an analysis unitto: receive, from the members of the first subgroup, the distancesbetween at least some members of the first subgroup, receive, from themembers of the second subgroup, the movement vectors of the members ofthe second subgroup, determine updated distances between at least twomembers of the second subgroup based on the movement vectors and thereceived distances of the respective at least two members, receive, fromthe members of the third subgroup, the real-world geographic locationsof the members of the third subgroup, and determine, based on thedistances between the at least some members of the first subgroup, themovement vectors of the members of the second subgroup, the updateddistances between the at least two members of the second subgroup andthe real-world geographic locations of the members of the third group,the real-world geographic locations of the members of the firstsub-group and the second sub-group.
 2. The system of claim 1, whereinthe third subgroup includes a single member.
 3. The system of claim 1,wherein the first subgroup includes all members of the multiple members.4. The system of claim 1, wherein each of the third subgroup memberscomprises geolocation sensors and wherein each of the third subgroupmembers to determine, based on readings of the respective geolocationsensor, a real-world geographic location of the respective member, toyield corresponding real-world geographic locations of the thirdsubgroup members.
 5. The system of claim 1, wherein the predeterminedtime duration ranges between 1-5 seconds.
 6. The system of claim 1,wherein the analysis unit further to determine, based on the distancesbetween the first subgroup members, an orientation of the first subgroupmembers with respect to each other, wherein the orientation includesinformation concerning the relative position of the first subgroupmembers with respect to each other.
 7. The system of claim 1, whereinthe analysis unit is further to: determine, based on at least one of:the orientation of the first subgroup members with respect to each otheror based on the distances between the first subgroup members, and basedon predetermined parameters of the first sensors, error values of thedistances between the first subgroup members; determine, based on themovement vectors of the second subgroup members and based onpredetermined parameters of the second sensors, error values of themovement vectors of the second subgroup members; determine, based on thereal-world geographic locations of the third subgroup members and basedon predetermined parameters of the third sensors, error value(s) of thereal-world geographic location of the third subgroup members; anddetermine, based on the error values of the distances between the firstsubgroup members, error values of the movement vectors of the secondsubgroup members and based on the error values of the real-worldgeographic location of the third subgroup members, global error valuesof the real-world geographic locations of the multiple members.
 8. Thesystem of claim 7, arranged to perform a predetermined number ofcommunication cycles between each of the multiple members and theanalysis unit during a specified time period, and wherein the analysisunit is arranged to determine, at each of the predeterminedcommunication cycles and for each of the multiple members, therespective member's real-world geographic location and further verifythat the respective member's global error value is below a predeterminederror threshold.
 9. The system of claim 1, wherein at least some membersof the multiple members are directly connected with at least some othermembers of the multiple members.
 10. The system of claim 1, wherein atleast some members of the multiple members are indirectly connected withat least some other members of the multiple members.
 11. The system ofclaim 1, wherein at least some members of the multiple members aredirectly connected with the analysis unit.
 12. The system of claim 1,wherein at least some members of the multiple members are indirectlyconnected with the analysis unit.
 13. A method of determining real-worldgeographic locations of multiple interconnected members, the methodcomprising: providing: a first subgroup of the multiple members, themembers of the first subgroup comprising first sensors, a secondsub-group of the multiple member, the members of the second subgroupcomprising second sensors, and a third subgroup of the multiple members,the real-world geographical locations of the members of the thirdsubgroup are known, wherein the first sub-group includes at least someof the members of the second sub-group and wherein at least one of thefirst sub-group and the second sub-group includes at least some of themembers of the third sub-group, wherein the first sensors areelectromagnetic sensors, wherein each of the second sensors comprises atleast one of an accelerometer, a compass, a pedometer, anelectromagnetic sensor or any combination thereof; determining distancesbetween at least some members of the first subgroup based on readings ofthe first sensors; determining movement vectors of members of the secondsubgroup based on readings of the second sensors, wherein each of themovement vectors comprises a movement direction and a movement distancemade by the respective member during a predetermined time duration;determining updated distances between at least two members of the secondsubgroup based on the movement vectors and the received distances of therespective at least two members; determining, based on the distancesbetween the at least some members of the first subgroup, the movementvectors of the members of the second subgroup, the updated distancesbetween the at least two members of the second subgroup and thereal-world geographic locations of the members of the third group, thereal-world geographic locations of the members of the first sub-groupand the second sub-group.
 14. The method of claim 13, further comprisingconfiguring the third subgroup to include a single member.
 15. Themethod of claim 13, further comprising configuring the first subgroup toinclude all members of the multiple members.
 16. The method of claim 13,further comprising configuring the predetermined time duration to rangebetween 1-5 seconds.
 17. The method of claim 13, further comprisingdetermining based on the distances between the first subgroup members,an orientation of the first subgroup members with respect to each other,wherein the orientation includes information concerning the relativeposition of the first subgroup members with respect to each other. 18.The method of claim 17, further comprising: determining, based on atleast one of: the orientation of the first subgroup members with respectto each other or based on the distances between the first subgroupmembers, and based on predetermined parameters of the first sensors,error values of the distances between the first subgroup members;determining, based on the movement vectors of the second subgroupmembers and based on predetermined parameters of the second sensors,error values of the movement vectors of the second subgroup members;determining, based on the real-world geographic locations of the thirdsubgroup members and based on predetermined parameters of the thirdsensors, error value(s) of the real-world geographic location of thethird subgroup members; and determining, based on the error values ofthe distances between the first subgroup members, error values of themovement vectors of the second subgroup members and based on the errorvalues of the real-world geographic location of the third subgroupmembers, global error values of the real-world geographic locations ofthe multiple members.
 19. The method of claim 18, further comprisingperforming, for each of the multiple members, a predetermined number ofcommunication cycles during a specified time period and determining, ateach of the predetermined communication cycles and for each of themultiple members, the respective member's real-world geographic locationand further verifying that the respective member's global error value isbelow a predetermined error threshold.
 20. The method of claim 13,further comprising configuring at least some members of the multiplemembers to directly connect with at least some other members of themultiple members.